Fossil signatures using elemental abundance distributions and Bayesian probabilistic classification

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5555, Issue , 2004, Pages 18-30

  Storrie Lombardi, Michael C ^a   Hoover, Richard B ^b  

^a Kinohi Institute   (United States)

^b NASA HEADQUARTERS   (United States)

Author keywords

Artificial Neural Networks; Complexity analysis; Elemental abundances; Hierarchical Analysis; Mars; Meteorites; Multifactor analysis; Paleo biosignatures; Principal Component Analysis; Terrestrial fossils

Indexed keywords

COMPUTATIONAL COMPLEXITY; IMAGE ANALYSIS; METEORITES; NEURAL NETWORKS; OPTICAL MICROSCOPY; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; ROCKS;

COMPLEXITY ANALYSIS; ELEMENTAL ABUNDANCE; HIERARCHICAL ANALYSIS; MARS; MULTIFACTOR ANALYSIS; PALEO-BIOSIGNATURES; TERRESTRIAL FOSSILS;

FOSSIL FUELS;

EID: 14944371787     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.563573     Document Type: Conference Paper

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